Phase 1 study of IMCnyeso, a T cell receptor bispecific ImmTAC targeting NY-ESO-1-expressing malignancies
Bibliographic record
Abstract
IMCnyeso, an immune mobilizing monoclonal T cell receptor against cancer (ImmTAC) bispecific (New York esophageal squamous cell carcinoma [NY-ESO]×CD3) T cell engager, targets an NY-ESO-1/L-antigen family member-1 isoform A (LAGE-1A) peptide presented by histocompatibility leukocyte antigen (HLA)-A∗02:01. In this phase 1 study, 28 HLA-A∗02:01+ patients with advanced NY-ESO-1/LAGE-1A-positive advanced tumors (n = 28) receive IMCnyeso weekly intravenously (dose range: 3-300 μg; 7 dose-escalation cohorts). The primary objective is to identify the maximum tolerated dose (MTD) or recommended phase 2 dose (RP2D); additional objectives include preliminary anti-tumor activity, pharmacokinetics, immunogenicity, and pharmacodynamic changes. The study was terminated before fully enrolling dose escalation, and the MTD was not identified. There are no treatment-related discontinuations or deaths. The most common adverse events are grade 1/2 cytokine release syndrome and associated symptoms. Cytokine induction and transient lymphocyte count decreases are observed at doses 30-300 μg. At these doses, preliminary efficacy includes mixed response (2 patients) and a median overall survival of 12 months. IMCnyeso is well tolerated and, at doses ≥30 μg, induces pharmacodynamic changes consistent with T cell redirection. This study was registered at ClinicalTrials.gov (NCT03515551).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".